Position: Google Cloud Platform Cloud, Data & AI Consultant
Location: 100% Remote
Role Summary
We are seeking a customer-focused Cloud, Data & AI Consultant with strong expertise in Google Cloud Platform (Google Cloud Platform), cloud infrastructure, modern data platforms, AI/ML, and application modernization. The candidate will serve as a trusted advisor, helping customers design, implement, and optimize scalable cloud-native solutions while enabling engineering teams through technical leadership and best practices.
Key Responsibilities
- Architect and implement cloud solutions on Google Cloud Platform (Google Cloud Platform).
- Design scalable infrastructure leveraging Kubernetes (GKE), networking, load balancers, API gateways, and security services.
- Build modern data platforms using Lakehouse architecture, BigQuery, Delta Lake, Iceberg, and Spark/PySpark.
- Develop real-time data solutions using Apache Kafka, CDC, Debezium, and event-driven architectures.
- Design and deploy AI/ML and Generative AI solutions using Vertex AI and modern MLOps practices.
- Design and develop cloud-native applications using Java, Python, React, Spring Boot, and Microservices.
- Create CI/CD pipelines, Infrastructure as Code (Terraform), and platform automation.
- Build analytics and reporting solutions using Tableau, Coginiti, Strategy and other BI tools.
- Lead customer workshops, architecture reviews, and cloud modernization initiatives.
- Create reusable reference architectures, accelerators, and technical guidance for field engineering teams.
Required Skills
- Google Cloud Platform Cloud Architecture & Infrastructure
- Kubernetes (GKE), Networking, Load Balancers
- API Management & API Gateways (Apigee, Kong, etc.)
- Apache Kafka & CDC Technologies
- Lakehouse & Data Platform Architecture
- Apache Spark / PySpark
- AI/ML, Generative AI, Vertex AI, MLOps
- Java, Python, React
- Terraform, CI/CD, DevOps
- BigQuery and Enterprise Data Analytics
- BI Tools: Looker, Power BI, Tableau
Preferred Qualifications
- 10+ years of cloud consulting, architecture, or engineering experience.
- Google Cloud Platform Professional Cloud Architect, Data Engineer, or ML Engineer certifications.
- Experience leading enterprise cloud, data, and AI transformation programs.
- Strong communication, stakeholder management, and customer advisory skills.
Ideal Candidate
A hands-on consultant with expertise across Google Cloud Platform, Kafka, API Gateways, Lakehouse, BI, AI/ML, Java, Python, React, and Spark, capable of driving enterprise-scale cloud, data, and AI modernization initiatives from strategy through implementation.
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